Land of addicts? an empirical investigation of habit‐based asset pricing models

This paper studies the ability of a general class of habit‐based asset pricing models to match the conditional moment restrictions implied by asset pricing theory. We treat the functional form of the habit as unknown, and estimate it along with the rest of the model's finite dimensional parameters. Using quarterly data on consumption growth, assets returns and instruments, our empirical results indicate that the estimated habit function is nonlinear, that habit formation is better described as internal rather than external, and the estimated time‐preference parameter and the power utility parameter are sensible. In addition, the estimated habit function generates a positive stochastic discount factor (SDF) proxy and performs well in explaining cross‐sectional stock return data. We find that an internal habit SDF proxy can explain a cross‐section of size and book‐market sorted portfolio equity returns better than (i) the Fama and French ( 1993 ) three‐factor model, (ii) the Lettau and Ludvigson ( 2001b ) scaled consumption CAPM model, (iii) an external habit SDF proxy, (iv) the classic CAPM, and (v) the classic consumption CAPM. Copyright © 2009 John Wiley & Sons, Ltd.     

Market efficiency and cointegration: Some evidence in Pacific-Basin black exchange markets

This paper investigates the efficiency of the black exchange markets in Indonesia, Malaysia, the Philippines, South Korea, Taiwan, and Thailand. The study applies unit root and cointegration tests to examine black exchange market efficiency of Pacific-Basin countries. The generating process of black exchange rates appears to be a random walk. This is consistent with Gupta (1981) and other foreign exchange rate unit root test studies. Johansen cointegration tests are performed for these black exchange markets together with Japan and Singapore. The results suggest that there is at least one unit root among the black market exchange rates. Hence, black exchange markets are not collectively efficient.     

Optimal designs for generalized linear models with biased response

This paper is concerned with the search for locally optimal designs when the observations of the response variable arise from a weighted distribution in the exponential family. Locally optimal designs are derived for regression models in which the response follows a weighted version of Normal, Gamma, Inverse Gaussian, Poisson or Binomial distributions. Some conditions are given under which the optimal designs for the weighted and original (non-weighted) distributions are the same. An efficiency study is performed to find out the behavior of the D-optimal designs for the original distribution when they are used to estimate models with weighted distributions.     

Total factor productivity convergence in German states since reunification: Evidence and explanations

A quarter-century after reunification, labor productivity in the states of eastern Germany continues to lag systematically behind the West. Persistent gaps in total factor productivity (TFP) are the proximate cause; conventional and capital-free measurements confirm a sharp slowdown in TFP growth after 1995. Strikingly, eastern capital intensity, especially in industry, exceeds values in the West, casting doubt on the embodied technology hypothesis. TFP growth is negatively associated with rates of investment expenditures. The stubborn East-West TFP gap is best explained by low concentration of managers, low startup intensity and the distribution of firm size in the East rather than R&D activities.     

The impact of working conditions on sickness absence: a theoretical model and an empirical application to work schedules

This paper explores how poor working conditions impact sickness absence through their effect on health. Our contribution is two-fold. First, we develop a static theoretical model based on the concept of health capital, wherein poor working conditions are partially compensated by higher wages. According to our model, the effect of working conditions on sickness absence is ambiguous. Second, we apply our model to the case of working time arrangements and test the effect of working irregular schedules or work around the clock on sickness absence, using data from the French Labor Force Survey on a specific population (male manual workers in private sector). As heterogeneity may lead to severe bias, we use propensity score matching methods. Our estimates show that working irregular schedules has a significant impact on sickness absence. The results are more mitigated for work around the clock. In any case, the extent crucially depends on age.